This booklet covers four main steps of designing a machine learning system:

Project setup

Data pipeline

Modeling: selecting, training, and debugging

Serving: testing, deploying, and maintaining

It comes with links to practical resources that explain each aspect in more details. It also suggests case studies written by machine learning engineers at major tech companies who have deployed machine learning systems to solve real-world problems.

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